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KMeansClustering Methods

The KMeansClustering type exposes the following members.

Methods
 NameDescription
Public methodClone Creates a deep copy of this cluster analysis.
Public methodCluster(DoubleMatrix) Clusters the data into the specified number of clusters.
Public methodCluster(Int32) Clusters the data into the specified number of clusters.
Public methodCluster(Int32, KMeansClusteringStart) Clusters the data into the specified number of clusters, using the specified method of choosing the initial cluster centers.
Public methodCluster(Int32, RandGenMTwist) Clusters the data into the specified number of clusters.
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